James H. Stock, Harvard University
Mark W. Watson, Princeton University
Stock & Watson  | ©2015
Pearson  | Cloth  | 840 pp  | ISBN-13: 9780133486872
Stock & Watson  | ©2012
Pearson  | Access Code Card  | ISBN-13: 9780133487671
For courses in Introductory Econometrics
Engaging applications bring the theory and practice of modern econometrics to life
Ensure students grasp the relevance of econometrics with Introduction to Econometrics—the text that connects modern theory and practice with motivating, engaging applications.
The Third Edition Update maintains a focus on currency, while building on the philosophy that applications should drive the theory, not the other way around.
This program provides a better teaching and learning experience—for you and your students. Here’s how:
NEW! Personalized learning with MyEconLab–recommendations to help students better prepare for class, quizzes, and exams–and ultimately achieve improved comprehension in the course.
TABLE OF CONTENTS
Part I. Introduction and Review
Chapter 1. Economic Questions and Data
Chapter 2. Review of Probability
Chapter 3. Review of Statistics
Part II. Fundamentals of Regression Analysis
Chapter 4. Linear Regression with One Regressor
Chapter 5. Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals
Chapter 6. Linear Regression with Multiple Regressors
Chapter 7. Hypothesis Tests and Confidence Intervals in Multiple Regression
Chapter 8. Nonlinear Regression Functions
Chapter 9. Assessing Studies Based on Multiple Regression
Part III. Further Topics in Regression Analysis
Chapter 10. Regression with Panel Data
Chapter 11. Regression with a Binary Dependent Variable
Chapter 12. Instrumental Variables Regression
Chapter 13. Experiments and Quasi-Experiments
Part IV. Regression Analysis of Economic Time Series Data
Chapter 14. Introduction to Time Series Regression and Forecasting
Chapter 15. Estimation of Dynamic Causal Effects
Chapter 16. Additional Topics in Time Series Regression
Part V. The Econometric Theory of Regression Analysis
Chapter 17. The Theory of Linear Regression with One Regressor
Chapter 18. The Theory of Multiple Regression
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